Video Based Monitoring System Using Multiple Cameras, Method, Computer Program and Storage Medium

2. The monitoring system (1) according to claim 1, wherein the assignment module (11) is configured to determine the object information for the person (4) based on a set of rules and/or by means of an artificial intelligence system.

3. The monitoring system (1) according to claim 1, wherein the sensor device (7a) is configured to capture the object information automatically and/or in a contactless manner.

4. The monitoring system (1) according to claim 1, wherein the object information is based on a product, wherein a registration system for registering the product comprises the sensor device (7a, b).

5. The monitoring system (1) according to claim 1, wherein the object information or additional object information is based on a personal article belonging to the person (4), the article being configured as a transmitter and the sensor device being configured (7a, b) as a receiver.

6. The monitoring system (1) according to claim 1, wherein the person detection module (10) is configured to extract at least one personal information item of a person (4) from the monitoring images (6a, b), wherein the person detection module (10) is configured to provide the personal information and/or the position information to the comparison module (12) as additional personal data.

7. The monitoring system (1) according to claim 6, wherein the personal information comprises an appearance feature and/or a clothing feature and/or a movement feature of the person.

8. The monitoring system (1) according to claim 1, further comprising at least one additional sensor device (7a, b), wherein the at least one additional sensor device (7a) is configured to capture person-related object information in a first partial monitoring region (2a) and the other sensor device (7b) is configured to capture person-related object information in a second partial monitoring region (2b).

9. The monitoring system (1) according to claim 1, further comprising a training device (9), wherein the training device (9) includes a third electronic processor configured to train the monitoring device (5) using monitoring images (6a, b) obtained from the monitoring device (5).

10. The monitoring system (1) according to claim 9, wherein the monitoring images (6a, b) are formed by the monitoring images (6a, b) in which an included person (4) is recognized based on matching personal data.

11. The monitoring system (1) according to claim 1, wherein the at least one sensor device (7a, b) is a component of a point-of-sale (POS) system.

12. A method for recognizing persons (4) in a plurality of monitoring images (6a, b), wherein persons (4) are detected in the monitoring images (6a, b), wherein person-related object information is captured in a monitoring region (2), at least one person-related object information item from a partial monitoring region (2a, b) of the monitoring region (2) being assigned to a person (4) in the same partial monitoring region (2b) and being provided as personal data, wherein the personal data also includes a feature of the person (4) detected in the monitoring images (6a, b), wherein a plurality of personal data items from a plurality of different partial monitoring regions (2a, b) are compared, and wherein if a match is found in the personal data from at least two partial monitoring regions (2a, b) a person is recognized in the monitoring images (6a, b), wherein matches of the person-related object information are prioritized erson (4).

13. The method according to claim 12, wherein the persons (4) are tracked based on the monitoring images (6a, b) in the partial monitoring regions (2), wherein if a match is found in the personal data from the at least two different partial monitoring regions (2a, b) the tracked person (4) is recognized in the monitoring images (6a, b).

14. The method according to claim 12, wherein the monitoring images (6a, b) with the matching personal data are generated and/or stored as training data for training an image processing algorithm.